Cloud Performance Engineer - Dallas TX or Charlotte NC (Hybrid)
Staffing the Universe
Cloud Performance Engineer
JMeter AWS Cloud Performance testing & Reporting (in terms of team metrics), are key skills. Strong Performance Testing experience. Strong Tool experience with JMeter, BlazeMeter. Good experience with Messaging Streams in Cloud Monitoring and Performance Engineering - Dynatrace, Splunk, Solar Winds.
Minimum 12-15 years of experience in technical role delivering Performance Engineering Solutions. Strong communication skills, able to effectively communicate ideas and technical concepts to both technical and executive audiences. Must have performance testing experience with public cloud technologies such as Microsoft Azure, AWS or GCP using tools like JMeter, BlazeMeter. Collaborate with Product Owners, Solution Architects, SREs, Support & Dev-Ops to assess monitoring and performance improvement areas and promote resolution of issues. Assist with driving monitoring and observability standards to improve consumer experience of mission critical applications, services, and business processes with a strong focus on the end-to-end journey. Create and execute performance test scripts, cases, and scenarios that will validate system performance according to workflow and load specifications as well as lead trouble shooting and tuning exercises. Hands-on experience in building robust performance test suites in JMeter/ Blazemeter. Implement CI/CD for Performance as part of the End-to-End Enterprise Pipeline. Advanced knowledge of MSFT SQL and or Oracle query optimization query plans stored procedures index tuning and SQL Internals. Experience with DevOps / Orchestration Tools --> Git, Bitbucket, Jenkins, Kubernetes, Docker. Experience with APM Database and Infrastructure monitoring tools such as Dynatrace SaaS Solar Winds DPA SAM Visual JM NMon MuleSoft AnyPoint MapR MCS and Grafana. Knowledge of internal runtime of operating systems Unix Linux Windows. Test and Analyze performance, and work with cross functional teams to identify bottlenecks across multiple layers of the system and their root cause, impacts on Production infrastructure. Must be efficient and flexible to work with multiple teams across different locations and time zones.
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Staffing the Universe
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